{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Jupyter Notebook常用指令"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "`%pwd` 显示当前路径"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "`%cd 文件夹路径`  "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "# 转到 桌面 这个路径\n",
    "%cd D:/Desktop"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    " '!'执行系统命令"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "# !pip install numpy #安装numpy"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "# !pip install --upgrade numpy"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "bfe36128",
   "metadata": {},
   "source": [
    "# 基础语法"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "49826ab0",
   "metadata": {},
   "source": [
    "## 变量命名"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "dfacd42e",
   "metadata": {
    "hide_input": false
   },
   "source": [
    "- 只能是⼀个词；\n",
    "- 只能包含字⺟、数字和下划线；\n",
    "- 不能以数字开头；\n",
    "- 尽量描述包含的数据内容；\n",
    "- 不要使⽤Python函数名和关键字；\n",
    "- 不要使用Python的保留字符"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "a7fadd8e",
   "metadata": {},
   "outputs": [],
   "source": [
    "number"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "9f54ad6e",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2023-08-08T16:48:10.322615Z",
     "start_time": "2023-08-08T16:48:10.317986Z"
    }
   },
   "outputs": [],
   "source": [
    "number = 50\n",
    "url = 'https://www.baidu.com/'\n",
    "number_list_2 = [50,10,30]\n",
    "# 以上number，url和number_list_2都是变量名"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "ad5fad14",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2023-08-08T16:48:10.850346Z",
     "start_time": "2023-08-08T16:48:10.841245Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "50"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "number"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "7f3f8499",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2023-08-08T16:48:13.335135Z",
     "start_time": "2023-08-08T16:48:13.331016Z"
    }
   },
   "outputs": [],
   "source": [
    "# 删除变量 del\n",
    "del number"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "28872ea6",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2023-08-08T16:48:13.843665Z",
     "start_time": "2023-08-08T16:48:13.823690Z"
    }
   },
   "outputs": [
    {
     "ename": "NameError",
     "evalue": "name 'number' is not defined",
     "output_type": "error",
     "traceback": [
      "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[1;31mNameError\u001b[0m                                 Traceback (most recent call last)",
      "\u001b[1;32md:\\work\\github\\css_note\\py\\py_intro.ipynb Cell 8\u001b[0m line \u001b[0;36m1\n\u001b[1;32m----> <a href='vscode-notebook-cell:/d%3A/work/github/css_note/py/py_intro.ipynb#X10sZmlsZQ%3D%3D?line=0'>1</a>\u001b[0m number\n",
      "\u001b[1;31mNameError\u001b[0m: name 'number' is not defined"
     ]
    }
   ],
   "source": [
    "number"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "c83ef81e",
   "metadata": {},
   "source": [
    "<center><big><b>保留字符/关键字keyword</b></big></center>"
   ]
  },
  {
   "attachments": {
    "image.png": {
     "image/png": "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"
    }
   },
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "![image.png](attachment:image.png)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "254315de",
   "metadata": {},
   "source": [
    "## 打印 print()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "18dac55f",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2023-08-07T03:38:21.438787Z",
     "start_time": "2023-08-07T03:38:21.432773Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "3\n"
     ]
    }
   ],
   "source": [
    "# 不带引号，计算机需读懂括号里的内容，并打印最终结果\n",
    "print(1 + 2)  "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "c1ad0f91",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2023-08-07T03:38:22.845881Z",
     "start_time": "2023-08-07T03:38:22.839898Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "1 + 2 =\n",
      "Hello World!\n"
     ]
    }
   ],
   "source": [
    "# 带单/双引号，计算机无须理解，原样复述引号中内容\n",
    "print('1 + 2 =')  \n",
    "print('Hello World!') "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "eb313063",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2023-08-07T03:38:23.253849Z",
     "start_time": "2023-08-07T03:38:23.236899Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "1 + 2 = 3\n"
     ]
    }
   ],
   "source": [
    "# 同时打印原内容，和运算结果\n",
    "print('1 + 2 =', 1+2)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "cceeedfe",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2023-08-07T03:38:23.659537Z",
     "start_time": "2023-08-07T03:38:23.644545Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "3\n",
      "1 + 2 = 3\n"
     ]
    }
   ],
   "source": [
    "print(f'{1 + 2}')\n",
    "print(f'{1 + 2 = }')   # python3.8的新写法"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "c1fcb8ee",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2023-08-07T03:38:24.128479Z",
     "start_time": "2023-08-07T03:38:24.122466Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Let's go!\n"
     ]
    }
   ],
   "source": [
    "# 当打印内容中有单引号时，需使用双引号\n",
    "print(\"Let's go!\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "6e646646",
   "metadata": {},
   "source": [
    "## 注释"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "b8d86809",
   "metadata": {},
   "source": [
    "### 单行注释：以 ```#```  开头"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "81b163e9",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2023-08-07T03:38:25.650505Z",
     "start_time": "2023-08-07T03:38:25.640541Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Hello World!\n"
     ]
    }
   ],
   "source": [
    "# 这是单行注释\n",
    "print('Hello World!')"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "795bb74c",
   "metadata": {},
   "source": [
    "### 多行注释：用三个单引号 ```'''``` 或者三个双引号 ```\"\"\"``` 将注释括起来"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "66636e08",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2023-08-07T03:38:26.949103Z",
     "start_time": "2023-08-07T03:38:26.940140Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Hello World!\n"
     ]
    }
   ],
   "source": [
    "'''\n",
    "这是多行注释，用三个单引号\n",
    "这是多行注释，用三个单引号 \n",
    "这是多行注释，用三个单引号\n",
    "'''\n",
    "print('Hello World!')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "4823f28f",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2023-08-07T03:38:27.653364Z",
     "start_time": "2023-08-07T03:38:27.635379Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Hello World!\n"
     ]
    }
   ],
   "source": [
    "\"\"\"\n",
    "这是多行注释，用三个双引号\n",
    "这是多行注释，用三个双引号 \n",
    "这是多行注释，用三个双引号\n",
    "\"\"\"\n",
    "print(\"Hello World!\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "f405b5fb",
   "metadata": {},
   "source": [
    "# 基本数据类型"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "2d587114",
   "metadata": {},
   "source": [
    "- Python3中有六个标准的数据类型\n",
    "    * Number（数字）\n",
    "    * String（字符串）\n",
    "    * List（列表）\n",
    "    * Dictionary（字典）\n",
    "    * Tuple（元组）\n",
    "    * Set（集合）"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "2c823de2",
   "metadata": {},
   "source": [
    "## 数字"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "de3124a2",
   "metadata": {},
   "source": [
    "### 数字类型"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "1311d67a",
   "metadata": {},
   "source": [
    "- Python3 支持 int、float、bool、complex（复数）。\n",
    "- 在Python 3里，只有一种整数类型 int，表示为长整型，没有 python2 中的 Long。"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "1971c44c",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2023-08-07T03:38:29.761199Z",
     "start_time": "2023-08-07T03:38:29.747205Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'int'> <class 'float'> <class 'bool'> <class 'complex'>\n"
     ]
    }
   ],
   "source": [
    "# 赋值\n",
    "a, b, c, d = 20, 5.5, True, 4+3j\n",
    "# 查询变量所指的对象类型 type()\n",
    "print(type(a), type(b), type(c), type(d))"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "352b2706",
   "metadata": {},
   "source": [
    "### 数值运算"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "b523776b",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2023-08-07T03:38:30.234961Z",
     "start_time": "2023-08-07T03:38:30.218972Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "9"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "5 + 4  # 加法+"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "81c76ad1",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2023-08-07T03:38:30.580680Z",
     "start_time": "2023-08-07T03:38:30.566686Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "2.3"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "4.3 - 2 # 减法-"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "4d08b63e",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2023-08-07T03:38:30.863229Z",
     "start_time": "2023-08-07T03:38:30.846244Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "21"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "3 * 7  # 乘法*"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "f06ba78f",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2023-08-07T03:38:31.082050Z",
     "start_time": "2023-08-07T03:38:31.071080Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.5"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "2 / 4  # 除法，用单个左下划线“/”，得到一个浮点数"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "id": "0574bb79",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2023-08-07T03:38:31.335438Z",
     "start_time": "2023-08-07T03:38:31.327429Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "2 // 4 # 除法，用两个左下划线“/”，得到一个整数"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "id": "005c7db4",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2023-08-07T03:38:31.648182Z",
     "start_time": "2023-08-07T03:38:31.628224Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "2"
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "17 % 3 # 取余%"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "id": "99870384",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2023-08-07T03:38:32.024665Z",
     "start_time": "2023-08-07T03:38:32.016720Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "32"
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "2 ** 5 # 乘方**"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "7f758d8d",
   "metadata": {},
   "source": [
    "## 字符串 string"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "57d67847",
   "metadata": {},
   "source": [
    "    用单引号 ' 或双引号 \" 括起来，例如'Hello World!'"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "99d33de6",
   "metadata": {},
   "source": [
    "- 索引值以 0 为开始值，-1 为从末尾的开始位置\n",
    "- 例如h从前面索引为1，从后面索引为-5"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "cfeeed25",
   "metadata": {},
   "source": [
    "<center><b><big>字符串索引说明图</big></b></center>"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "id": "6ce78f33",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2023-08-08T17:11:56.658424Z",
     "start_time": "2023-08-08T17:11:56.652939Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'nge'"
      ]
     },
     "execution_count": 28,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "x = 'change'\n",
    "x[-3:]"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "12530341",
   "metadata": {},
   "source": [
    "### 字符串运算"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "bc35c354",
   "metadata": {},
   "source": [
    "|**操作符**|描述|例子|\n",
    "|:----:|:-----|:----:|\n",
    "|**+**|字符串连接|a+b|\n",
    "|**\\***|重复字符串|a*2|\n",
    "|**[]**|通过索引获取字符串中的字符|a[1]|\n",
    "|**[:]**|截取字符串中的⼀部分|a[1:4]|\n",
    "|**in**|成员运算符 - 如果字符串中包含给定的字符返回 True|\"h\" in a|\n",
    "|**not in**|成员运算符 - 如果字符串中不包含给定的字符返回 True|\"M\" not in a|"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "12bdd8b3",
   "metadata": {},
   "source": [
    "<center><small>注：a为hello，b为world</small></center>"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "1ee53d49",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2023-08-07T03:38:35.368312Z",
     "start_time": "2023-08-07T03:38:35.350354Z"
    }
   },
   "outputs": [],
   "source": [
    "a='change'\n",
    "b='world'"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "print(a+b) # +号连接字符串"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "print(a*2) # *号重复字符串"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "print(a[1]) # []索引字符"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "print(a[1:4]) # [:]截取字符串，第1个到第3个"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "print(\"h\" in a) # 是否包含"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "print(\"M\" not in a) # 是否不包含"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "c36a50bc",
   "metadata": {},
   "source": [
    "### 相关函数与方法 split, replace, strip, format"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "id": "7bfd3c07",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2023-08-07T03:38:36.322830Z",
     "start_time": "2023-08-07T03:38:36.308869Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['__add__',\n",
       " '__class__',\n",
       " '__contains__',\n",
       " '__delattr__',\n",
       " '__dir__',\n",
       " '__doc__',\n",
       " '__eq__',\n",
       " '__format__',\n",
       " '__ge__',\n",
       " '__getattribute__',\n",
       " '__getitem__',\n",
       " '__getnewargs__',\n",
       " '__getstate__',\n",
       " '__gt__',\n",
       " '__hash__',\n",
       " '__init__',\n",
       " '__init_subclass__',\n",
       " '__iter__',\n",
       " '__le__',\n",
       " '__len__',\n",
       " '__lt__',\n",
       " '__mod__',\n",
       " '__mul__',\n",
       " '__ne__',\n",
       " '__new__',\n",
       " '__reduce__',\n",
       " '__reduce_ex__',\n",
       " '__repr__',\n",
       " '__rmod__',\n",
       " '__rmul__',\n",
       " '__setattr__',\n",
       " '__sizeof__',\n",
       " '__str__',\n",
       " '__subclasshook__',\n",
       " 'capitalize',\n",
       " 'casefold',\n",
       " 'center',\n",
       " 'count',\n",
       " 'encode',\n",
       " 'endswith',\n",
       " 'expandtabs',\n",
       " 'find',\n",
       " 'format',\n",
       " 'format_map',\n",
       " 'index',\n",
       " 'isalnum',\n",
       " 'isalpha',\n",
       " 'isascii',\n",
       " 'isdecimal',\n",
       " 'isdigit',\n",
       " 'isidentifier',\n",
       " 'islower',\n",
       " 'isnumeric',\n",
       " 'isprintable',\n",
       " 'isspace',\n",
       " 'istitle',\n",
       " 'isupper',\n",
       " 'join',\n",
       " 'ljust',\n",
       " 'lower',\n",
       " 'lstrip',\n",
       " 'maketrans',\n",
       " 'partition',\n",
       " 'removeprefix',\n",
       " 'removesuffix',\n",
       " 'replace',\n",
       " 'rfind',\n",
       " 'rindex',\n",
       " 'rjust',\n",
       " 'rpartition',\n",
       " 'rsplit',\n",
       " 'rstrip',\n",
       " 'split',\n",
       " 'splitlines',\n",
       " 'startswith',\n",
       " 'strip',\n",
       " 'swapcase',\n",
       " 'title',\n",
       " 'translate',\n",
       " 'upper',\n",
       " 'zfill']"
      ]
     },
     "execution_count": 30,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 查看内建函数\n",
    "dir(str)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "8c53877a",
   "metadata": {},
   "source": [
    "<center><big><b>字符串相关函数（部分）</b></big></center>"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "ee48039b",
   "metadata": {},
   "source": [
    "|**函数**|描述|例子|\n",
    "|:----:|:-----|:----:|\n",
    "|**split(str='', num=string.count(str))**|以str为分隔符截取字符串，如果num有指定值，则分割为num+1个子字符串|str1.split('/')|\n",
    "|**strip()**|去除字符串中的空格|str2.strip()|\n",
    "|**replace(old, new [, max])**|将字符串中的str1替换成 str2,如果max指定，则替换不超过max次|str3.replace('中山市', '广州市')|\n",
    "|**```'{a}{b}'.format(a=1,b=2)```**|填充字符串|'{a}'.format(a='2021年8月19日')|"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "88c65264",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2023-08-07T03:38:38.013574Z",
     "start_time": "2023-08-07T03:38:38.002606Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "人类简史：从动物到上帝/尤瓦尔·赫拉利/林俊宏/   中信出版社  /2014-11/68.00元\n"
     ]
    }
   ],
   "source": [
    "# 分割 split(str='', num=string.count(str))\n",
    "# str：分隔符，默认为所有的空字符，包括空格、换行(\\n)、制表符(\\t)等，亦可指定其他的\n",
    "# num：分割次数，默认是-1，即分割所有\n",
    "str1 = '人类简史：从动物到上帝/尤瓦尔·赫拉利/林俊宏/   中信出版社  /2014-11/68.00元'\n",
    "print(str1)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "['人类简史：从动物到上帝', '尤瓦尔·赫拉利', '林俊宏', '   中信出版社  ', '2014-11', '68.00元']\n"
     ]
    }
   ],
   "source": [
    "str1_list = str1.split('/')  # 默认分割所有，只要识别到分隔符，就分割\n",
    "print(str1_list)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'list'>\n"
     ]
    }
   ],
   "source": [
    "print(type(str1_list))   # 分割后，获得列表\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "['人类简史：从动物到上帝', '尤瓦尔·赫拉利/林俊宏/   中信出版社  /2014-11/68.00元']\n"
     ]
    }
   ],
   "source": [
    "str1_list_2 = str1.split('/',1)   # 分隔次数为2次（num+1）\n",
    "print(str1_list_2)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "6\n",
      "2\n"
     ]
    }
   ],
   "source": [
    "print(len(str1_list))  # 查看列表长度\n",
    "print(len(str1_list_2))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "cf403362",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2023-08-07T03:38:38.502785Z",
     "start_time": "2023-08-07T03:38:38.483809Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      " 中信出版社 \n",
      "中信出版社\n"
     ]
    }
   ],
   "source": [
    "# 去除空格 strip()\n",
    "str2 = ' 中信出版社 '\n",
    "print(str2)\n",
    "print(str2.strip())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "21ca5d0c",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2023-08-07T03:38:38.974399Z",
     "start_time": "2023-08-07T03:38:38.968417Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "广州南方学院位于天河区。\n",
      "广州南方学院位于从化区。\n"
     ]
    }
   ],
   "source": [
    "# 替换 replace(old, new [, max])\n",
    "str3 = '广州南方学院位于天河区。'   # 实际在从化区\n",
    "print(str3)\n",
    "print(str3.replace('天河区', '从化区'))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**format**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "id": "27d5f0e9",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2023-08-07T03:39:45.582045Z",
     "start_time": "2023-08-07T03:39:45.576064Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "今天是：2023年8月9日\n",
      "今天是：2023年8月9日，天气：晴朗\n"
     ]
    }
   ],
   "source": [
    "# 填充 '{a}{b}'.format(a=1,b=2)\n",
    "# a和b为待填充的变量，在format中给a和b赋值\n",
    "# 填充1个变量\n",
    "str4 = '今天是：{a}'.format(a='2023年8月9日')\n",
    "print(str4)\n",
    "\n",
    "# 填充多个变量\n",
    "str5 = '今天是：{a}，天气：{b}'.format(a='2023年8月9日',b='晴朗')\n",
    "print(str5)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "6d327aa8",
   "metadata": {},
   "source": [
    "## 列表 list"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "9cdc3d43",
   "metadata": {},
   "source": [
    "- **```写在方括号 [] 之间、⽤逗号分隔开的元素列表```**，元素可以是数字、字符串、甚至是列表等（即嵌套）\n",
    "- 例子：\n",
    "    * [1, 2, 3, 4]\n",
    "    * ['北京','上海','广州','深圳']\n",
    "    * [[1, 2, 3, 4], ['北京','上海','广州','深圳']]"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "e3828e1c",
   "metadata": {},
   "source": [
    "### 列表运算"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "408cb5fb",
   "metadata": {},
   "source": [
    "|**操作符**|描述|例子|\n",
    "|:----:|:-----|:----:|\n",
    "|**+**|列表连接|a+b|\n",
    "|**\\***|重复列表|a*2|\n",
    "|**[]**|通过索引获取列表中的元素|a[1]|\n",
    "|**[:]**|截取列表中的⼀部分|a[1:4]|\n",
    "|**in**|成员运算符 - 如果列表中包含给定的元素返回 True|2 in a|\n",
    "|**not in**|成员运算符 - 如果列表中不包含给定的元素返回 True|2 not in a|"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "id": "26789826",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2023-08-07T03:39:52.240558Z",
     "start_time": "2023-08-07T03:39:52.228590Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[1, 2, 3, 4, '北京', '上海', '广州', '深圳']\n",
      "[1, 2, 3, 4, 1, 2, 3, 4]\n",
      "2\n",
      "[2, 3, 4]\n",
      "True\n",
      "False\n"
     ]
    }
   ],
   "source": [
    "a=[1, 2, 3, 4]\n",
    "b=['北京','上海','广州','深圳']\n",
    "\n",
    "print(a+b) # +号连接列表\n",
    "print(a*2) # *号重复列表\n",
    "print(a[1]) # []索引列表中的元素\n",
    "print(a[1:4]) # [:]截取列表中第1个到第3个元素\n",
    "print(2 in a) # 是否包含\n",
    "print(2 not in a) # 是否不包含"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "471e15b6",
   "metadata": {},
   "source": [
    "### 相关函数与方法 len() append()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "16b4da44",
   "metadata": {},
   "source": [
    "|**函数**|描述|\n",
    "|:----:|:-----|\n",
    "|**```len(list)```**|列表元素个数|\n",
    "|max(list)|返回列表元素最⼤值|\n",
    "|min(list)|返回列表元素最⼩值|\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "|**方法**|描述|\n",
    "|:----:|:-----|\n",
    "|**```list.append(obj)```**|在列表末尾添加新的对象|\n",
    "|list.count(obj)|统计某个元素在列表中出现的次数|\n",
    "|list.extend(seq)|在列表末尾⼀次性追加另⼀个序列中的多个值（⽤新列表扩展原来的列表）|\n",
    "|list.index(obj)|从列表中找出某个值第⼀个匹配项的索引位置|\n",
    "|list.insert(index, obj)|将对象插⼊列表|\n",
    "|list.pop([index=-1])|移除列表中的⼀个元素（默认最后⼀个元素），并且返回该元素的值|\n",
    "|list.remove(obj)|移除列表中某个值的第⼀个匹配项|\n",
    "|list.reverse()|反向列表中元素|\n",
    "|list.sort( key=None, reverse=False)|对原列表进⾏排序|\n",
    "|list.clear()|清空列表|\n",
    "|list.copy()|复制列表|"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "54be7b2e",
   "metadata": {},
   "source": [
    "    注：\n",
    "    - list为自设定的list名字，obj为特定的元素对象\n",
    "    - 例如b=['北京','上海','广州','深圳']中，list为b，obj则是其中任一元素，如“广州”"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "id": "aa668bbd",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2023-08-07T03:40:00.115508Z",
     "start_time": "2023-08-07T03:40:00.105536Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "4"
      ]
     },
     "execution_count": 40,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 列表元素个数 len()\n",
    "b=['北京','上海','广州','深圳']\n",
    "len(b)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "id": "86ca980c",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2023-08-07T03:40:02.489940Z",
     "start_time": "2023-08-07T03:40:02.479968Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['北京', '上海', '广州', '深圳', '青岛']"
      ]
     },
     "execution_count": 41,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 在列表末尾添加新的对象 append()\n",
    "b=['北京','上海','广州','深圳']\n",
    "b.append('青岛')\n",
    "b"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "id": "3415cb38",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2023-08-07T03:40:03.415642Z",
     "start_time": "2023-08-07T03:40:03.396691Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[]"
      ]
     },
     "execution_count": 42,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 生成空列表\n",
    "c = []\n",
    "c"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "7dff1e02",
   "metadata": {},
   "source": [
    "## 字典"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "27e74915",
   "metadata": {},
   "source": [
    "1. 写在花括号{}里，是无序的“键:值”（key:value)的集合\n",
    "2. ```键值对```：即key:value，用冒号(:)分隔，每个键值对间用逗号(,)分隔\n",
    "3. ```key和value的要求```：在同一个字典中，key可以取任何数据类型，但必须是唯一的，且不可变的，例如字符串、数字；value不要求唯一\n",
    "4. ```字典格式```：\n",
    "\n",
    "<!--  -->\n",
    "<center><b>d = {key1 : value1, key2 : value2, key3 : value3}</b></center>"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "e0f1a2b1",
   "metadata": {},
   "source": [
    "### 字典处理"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "4b1f0493",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2023-08-07T03:40:07.859036Z",
     "start_time": "2023-08-07T03:40:07.846075Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "{}\n",
      "{'book_name': '人类简史：从动物到上帝', 'author': '尤瓦尔·赫拉利', 'publisher': '中信出版社'}\n"
     ]
    }
   ],
   "source": [
    "# 创建字典\n",
    "dict0 = {}    # 创建空字典\n",
    "dict1 = {'book_name':'人类简史：从动物到上帝','author':'尤瓦尔·赫拉利','publisher':'中信出版社'}  # 创建非空字典\n",
    "\n",
    "print(dict0)\n",
    "print(dict1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "id": "1a73f1d6",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2023-08-07T03:40:08.388270Z",
     "start_time": "2023-08-07T03:40:08.381289Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "人类简史：从动物到上帝\n",
      "尤瓦尔·赫拉利\n"
     ]
    }
   ],
   "source": [
    "# 访问字典里的值\n",
    "print(dict1['book_name'])  # 访问book_name的值\n",
    "print(dict1['author'])  # 访问author的值"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "id": "43b07906",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2023-08-07T03:40:09.072584Z",
     "start_time": "2023-08-07T03:40:09.057594Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "{'book_name': '人类简史：从动物到上帝', 'author': '尤瓦尔·赫拉利', 'publisher': '中信出版社'}\n",
      "{'book_name': '人类简史：从动物到上帝', 'author': '尤瓦尔·赫拉利', 'publisher': '中信出版社', 'translator': '林俊宏'}\n"
     ]
    }
   ],
   "source": [
    "# 向字典添加/修改/删除键值对\n",
    "# 添加键值对\n",
    "dict1 = {'book_name':'人类简史：从动物到上帝','author':'尤瓦尔·赫拉利','publisher':'中信出版社'}\n",
    "print(dict1)\n",
    "dict1['translator'] = '林俊宏'\n",
    "print(dict1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "id": "24261a58",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2023-08-07T03:40:09.666750Z",
     "start_time": "2023-08-07T03:40:09.657777Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "{'book_name': '人类简史', 'author': '尤瓦尔·赫拉利', 'publisher': '中信出版社', 'translator': '林俊宏'}\n"
     ]
    }
   ],
   "source": [
    "# 修改键值对\n",
    "dict1['book_name'] = '人类简史'\n",
    "print(dict1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 47,
   "id": "7c1d2f0c",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2023-08-07T03:40:10.448683Z",
     "start_time": "2023-08-07T03:40:10.438675Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "{'book_name': '人类简史', 'author': '尤瓦尔·赫拉利', 'publisher': '中信出版社'}\n"
     ]
    }
   ],
   "source": [
    "# 删除键值对\n",
    "del dict1['translator']\n",
    "print(dict1)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "a3d0ecad",
   "metadata": {},
   "source": [
    "### 相关函数与方法 len() items() keys() values()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "7a2281af",
   "metadata": {},
   "source": [
    "|**函数**|描述|\n",
    "|:----:|:-----|\n",
    "|**```len(dict)```**|计算字典元素个数，即键的总数|\n",
    "|str(dict)|输出字典，以可打印的字符串表示|\n",
    "|dict.clear()|删除字典内所有元素|\n",
    "|dict.copy()|返回⼀个字典的浅复制|\n",
    "|dict.fromkeys()|创建⼀个新字典，以序列seq中元素做字典的键，val为字典所有键对应的初始值|\n",
    "|dict.get(key, default=None)|返回指定键的值，如果值不在字典中返回 default值|\n",
    "|key in dict|如果键在字典dict⾥返回true，否则返回false|\n",
    "|**```dict.items()```**|以列表返回可遍历的(键, 值) 元组数组|\n",
    "|**```dict.keys()```**|返回⼀个迭代器，可以使⽤ list() 来转换为列表|\n",
    "|**```dict.values()```**|返回⼀个迭代器，可以使⽤ list() 来转换为列表|\n",
    "|dict.setdefault(key, default=None)|和get()类似, 但如果键不存在于字典中，将会添加键并将值设为default|\n",
    "|dict.update(dict2)|把字典dict2的键/值对更新到dict⾥|\n",
    "|pop(key[,default])|删除字典给定键 key 所对应的值，返回值为被删除的值。key值必须给出。否则，返回default值|\n",
    "|popitem()|随机返回并删除字典中的最后⼀对键和值|"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 48,
   "id": "f1d5e93a",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2023-08-08T17:34:13.661353Z",
     "start_time": "2023-08-08T17:34:13.656322Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "{'book_name': '人类简史：从动物到上帝', 'author': '尤瓦尔·赫拉利', 'publisher': '中信出版社'}\n"
     ]
    }
   ],
   "source": [
    "dict1 = {'book_name':'人类简史：从动物到上帝','author':'尤瓦尔·赫拉利','publisher':'中信出版社'}\n",
    "print(dict1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 49,
   "id": "097bd103",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2023-08-08T17:34:14.440731Z",
     "start_time": "2023-08-08T17:34:14.434779Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "3"
      ]
     },
     "execution_count": 49,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 查看字典长度 len()\n",
    "len(dict1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 50,
   "id": "45ad341b",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2023-08-08T17:34:15.390334Z",
     "start_time": "2023-08-08T17:34:15.383718Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "dict_items([('book_name', '人类简史：从动物到上帝'), ('author', '尤瓦尔·赫拉利'), ('publisher', '中信出版社')])"
      ]
     },
     "execution_count": 50,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 查看所有键值对 items()\n",
    "dict1.items()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 52,
   "id": "3e5bc1c5",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2023-08-08T17:35:09.356218Z",
     "start_time": "2023-08-08T17:35:09.350056Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "book_name\n",
      "author\n",
      "publisher\n"
     ]
    }
   ],
   "source": [
    "# 遍历并打印所有键值对\n",
    "for key, value in dict1.items():\n",
    "    print(key,':', value)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 53,
   "id": "77f6e0ce",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2023-08-07T03:40:17.374215Z",
     "start_time": "2023-08-07T03:40:17.354269Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "dict_keys(['book_name', 'author', 'publisher'])"
      ]
     },
     "execution_count": 53,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 查看所有的键  keys()\n",
    "dict1.keys()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 54,
   "id": "6b3918db",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2023-08-07T03:40:18.081364Z",
     "start_time": "2023-08-07T03:40:18.076361Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "dict_values(['人类简史：从动物到上帝', '尤瓦尔·赫拉利', '中信出版社'])"
      ]
     },
     "execution_count": 54,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 查看所有的值 values()\n",
    "dict1.values()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 55,
   "id": "430db079",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2023-08-07T03:40:18.532897Z",
     "start_time": "2023-08-07T03:40:18.514945Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[{'book_name': '人类简史：从动物到上帝', 'author': '尤瓦尔·赫拉利', 'publisher': '中信出版社'},\n",
       " {'book_name': '理想国', 'author': '柏拉图', 'publisher': '商务印书馆'},\n",
       " {'book_name': '社会契约论', 'author': '卢梭', 'publisher': '商务印书馆'}]"
      ]
     },
     "execution_count": 55,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 以字典为元素的列表——json文件格式\n",
    "dict2 = {'book_name':'理想国','author':'柏拉图','publisher':'商务印书馆'}\n",
    "dict3 = {'book_name':'社会契约论','author':'卢梭','publisher':'商务印书馆'}\n",
    "dict_list = [dict1, dict2, dict3]\n",
    "dict_list    # 即json数据格式，是一种网页数据的存储格式，爬虫时涉及"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "56ac43fb",
   "metadata": {},
   "source": [
    "## 元组"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "9fa8076c",
   "metadata": {},
   "source": [
    "1. **```写在⼩括号()⾥，元素之间⽤逗号隔开```**，元素可以是字符串、数字等\n",
    "2. 例子：\n",
    "    * ('张三','男',25)\n",
    "    * (1, 2, 3, 4, 5 )\n",
    "3. 与列表的对比：\n",
    "    * 二者相似，不同之处在于列表元素可修改，元组元素**```不可修改```**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 56,
   "id": "b1dceb8c",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2023-08-07T03:40:20.162818Z",
     "start_time": "2023-08-07T03:40:20.142901Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "('张三', '男', 25)\n",
      "(1, 2, 3, 4, 5)\n",
      "<class 'tuple'>\n"
     ]
    }
   ],
   "source": [
    "tup1 = ('张三','男',25)\n",
    "print(tup1)\n",
    "\n",
    "tup2 = (1, 2, 3, 4, 5 )\n",
    "print(tup2)\n",
    "\n",
    "print(type(tup1))"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "b5d3fe15",
   "metadata": {},
   "source": [
    "## 集合"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "d798ecfa",
   "metadata": {},
   "source": [
    "- **```写在花括号{}里，元素之间用逗号隔开```**，元素不重复、无序"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 57,
   "id": "2a19273f",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2023-08-07T03:40:22.998608Z",
     "start_time": "2023-08-07T03:40:22.979627Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "{'深圳', '广州', '上海', '北京'}\n",
      "{'b', 'c', 'e', 'd', 'a'}\n",
      "set()\n"
     ]
    }
   ],
   "source": [
    "# 创建集合\n",
    "set1 = {'上海', '北京', '广州', '深圳'}  # 直接用花括号\n",
    "print(set1)\n",
    "\n",
    "set2 = set('abcde') # 用set()\n",
    "print(set2)\n",
    "\n",
    "set3 = set() # 空集合，只能用set()，因为{}是用来创建空字典的\n",
    "print(set3)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 58,
   "id": "a49798e1",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2023-08-07T03:40:23.548795Z",
     "start_time": "2023-08-07T03:40:23.543809Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'上海', '北京', '广州', '深圳'}"
      ]
     },
     "execution_count": 58,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 删除重复元素\n",
    "set4 = {'北京', '广州', '上海', '广州', '深圳', '广州'}\n",
    "set4"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 59,
   "id": "44cbad1d",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2023-08-07T03:40:24.142893Z",
     "start_time": "2023-08-07T03:40:24.132885Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "True"
      ]
     },
     "execution_count": 59,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 元素关系测试\n",
    "set1 = {'上海', '北京', '广州', '深圳'}\n",
    "'广州' in set1"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "6ee735d3",
   "metadata": {},
   "source": [
    "# 循环语句：while和for"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "f7f3cfdd",
   "metadata": {},
   "source": [
    "1. 主要包括while和for两种类型\n",
    "2. 注意```冒号和缩进```\n",
    "3. while和for可以相互嵌套，形成多层嵌套的循环"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "827555cf",
   "metadata": {},
   "source": [
    "## while语句"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "a5e1ed1e",
   "metadata": {},
   "source": [
    "- 在给定的判断条件为 true 时执⾏循环体，否则退出循环体"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "b1cadd46",
   "metadata": {},
   "source": [
    "<center><b>while condition（条件）:</b></center>\n",
    "<center><b>　　statements（代码块）</b></center>"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "955e0722",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2023-08-07T03:40:28.155554Z",
     "start_time": "2023-08-07T03:40:28.136581Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "1\n",
      "3\n",
      "5\n",
      "7\n",
      "9\n"
     ]
    }
   ],
   "source": [
    "i = 1\n",
    "while i < 10:\n",
    "    print(i)\n",
    "    i = i + 2"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "c9592a79",
   "metadata": {},
   "source": [
    "## for语句"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "0c63a92b",
   "metadata": {},
   "source": [
    "1. 遍历任何序列的项⽬（如列表、字符串），执行循环体\n",
    "2. 如果遍历数字序列，可使用内置range()函数"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "db3921a0",
   "metadata": {},
   "source": [
    "<center><b>for variable in sequence:</b></center>\n",
    "<center><b>　　statement（代码块）</b></center>\n",
    "<center><small>（注：for 迭代对象 in 任何序列）</small></center>"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 61,
   "id": "c5f13f1d",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2023-08-07T03:40:31.164627Z",
     "start_time": "2023-08-07T03:40:31.146694Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "北京\n",
      "上海\n",
      "广州\n",
      "深圳\n"
     ]
    }
   ],
   "source": [
    "b=['北京','上海','广州','深圳']\n",
    "for j in b:\n",
    "    print(j)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### range 函数"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "294ea3de",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2023-08-07T03:40:31.573717Z",
     "start_time": "2023-08-07T03:40:31.562714Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "1\n",
      "2\n",
      "3\n",
      "4\n"
     ]
    }
   ],
   "source": [
    "for k in range(1,5):  # 1到4的数字序列\n",
    "    print(k)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "0\n",
      "1\n",
      "2\n",
      "3\n",
      "4\n"
     ]
    }
   ],
   "source": [
    "for k in range(5):  # 1到4的数字序列\n",
    "    print(k)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "range(5, 10)"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "range(5, 10)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "range(0, 10, 3)"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "range(0, 10, 3)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "range(-10, -100, -30)"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "range(-10, -100, -30)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "0 Mary\n",
      "1 had\n",
      "2 a\n",
      "3 little\n",
      "4 lamb\n"
     ]
    }
   ],
   "source": [
    "a = ['Mary', 'had', 'a', 'little', 'lamb']\n",
    "for i in range(len(a)):\n",
    "    print(i, a[i])"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "2f5ce35a",
   "metadata": {},
   "source": [
    "## 其他语句 break continue else pass"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "a5d0eb53",
   "metadata": {},
   "source": [
    "1. **```break语句```**： <br>\n",
    "　　在语句块执⾏过程中终⽌循环，并且**<u>```跳出整个循环```</u>**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "c9715603",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2023-08-08T15:49:12.765571Z",
     "start_time": "2023-08-08T15:49:12.761069Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "0\n",
      "1\n",
      "2\n",
      "3\n",
      "4\n"
     ]
    }
   ],
   "source": [
    "for i in range(0,5):\n",
    "    print(i)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "a4c4726e",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2023-08-08T16:27:04.204545Z",
     "start_time": "2023-08-08T16:27:04.198551Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "0\n",
      "1\n",
      "2\n"
     ]
    }
   ],
   "source": [
    "for i in range(0,5):\n",
    "    if i==3:\n",
    "        break\n",
    "    print(i)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "7cf7b5da",
   "metadata": {},
   "source": [
    "2. **```continue语句```**： <br>\n",
    "　　在语句块执⾏过程中**<u>```结束本次循环，回到循环语句的开头，执行下一次循环```</u>**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "42ef97f2",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2023-08-08T16:27:31.471838Z",
     "start_time": "2023-08-08T16:27:31.465855Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "0\n",
      "1\n",
      "2\n",
      "4\n"
     ]
    }
   ],
   "source": [
    "for i in range(0,5):\n",
    "    if i==3:\n",
    "        continue\n",
    "    print(i)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "1e6eb913",
   "metadata": {},
   "source": [
    "3. **```else 语句```**： <br>\n",
    "　　当条件不满足之后，**<u>```结束循环，执行else语句```</u>**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "9907dd39",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2023-08-08T16:33:00.773552Z",
     "start_time": "2023-08-08T16:33:00.767106Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "不等于3\n",
      "不等于3\n",
      "不等于3\n",
      "3\n",
      "不等于3\n"
     ]
    }
   ],
   "source": [
    "for i in range(0,5):\n",
    "    if i==3:\n",
    "        print(i)\n",
    "    else:\n",
    "        print('不等于3')"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "766920fe",
   "metadata": {},
   "source": [
    "4. **```pass语句```**： <br>\n",
    "　　空语句，**<u>```什么也不做，只起到占位作用，循环中使用pass不会跳出循环```</u>**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "b96c7979",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2023-08-08T16:27:46.285232Z",
     "start_time": "2023-08-08T16:27:46.279281Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "0\n",
      "1\n",
      "2\n",
      "3\n",
      "4\n"
     ]
    }
   ],
   "source": [
    "for i in range(0,5):\n",
    "    if i==3:\n",
    "        pass\n",
    "    print(i)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "5. **```try except语句```**： <br>\n",
    "　　"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "0\n",
      "1\n",
      "2\n",
      "3\n",
      "4\n"
     ]
    }
   ],
   "source": [
    "try:\n",
    "    for i in range(0,5):\n",
    "        print(i)\n",
    "except:\n",
    "    pass"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "936411d0",
   "metadata": {},
   "source": [
    "# 函数：输入参数，得到返回值"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "4f554c72",
   "metadata": {},
   "source": [
    "1. 函数是组织好的，可重复使⽤的，⽤来实现单⼀，或相关联功能的**```代码段```**\n",
    "2. 好处：函数能提⾼应⽤的模块性，和代码的重复利⽤率\n",
    "3. 函数类型：\n",
    "    * 内建函数：Python自带的函数，例如print\n",
    "    * 自定义函数：我们自己定义的函数\n",
    "4. 格式如下：<br>\n",
    "　　**```def 函数名（参数列表）:```<br>\n",
    "　　　　```函数体```**"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "949b96c7",
   "metadata": {},
   "source": [
    "5. **```定义函数的规则```**：\n",
    "    - 函数代码块**<u>```以def关键词开头，后接函数标识符名称和圆括号 ()```</u>**。\n",
    "    - 任何传入参数和自变量必须放在圆括号中间，圆括号之间可以用于定义参数。\n",
    "    - 函数的第一行语句可以选择性地使用文档字符串—用于存放函数说明。\n",
    "    - 函数内容**<u>```以冒号 : 起始，并且缩进```</u>**。\n",
    "    - return [表达式] 结束函数，选择性地**<u>```返回一个值```</u>**给调用方，不带表达式的 return 相当于返回 **<u>```None```</u>**。"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 63,
   "id": "988e02c3",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2023-08-07T03:43:03.419205Z",
     "start_time": "2023-08-07T03:43:03.407205Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Hello World!\n"
     ]
    }
   ],
   "source": [
    "def hello():  # 定义hello函数，使其打印Hello World!\n",
    "    print(\"Hello World!\")\n",
    "\n",
    "hello()       # 调用hello函数"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 65,
   "id": "154369b6",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2023-08-07T03:43:03.946223Z",
     "start_time": "2023-08-07T03:43:03.933255Z"
    }
   },
   "outputs": [],
   "source": [
    "# 【函数】中加入【参数】\n",
    "def get_max(a, b):     # 定义get_max函数，输入a和b参数，使其返回最大值\n",
    "    if a > b:\n",
    "        return a\n",
    "    else:\n",
    "        return b"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 66,
   "id": "7ac12a3d",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2023-08-07T03:43:04.744344Z",
     "start_time": "2023-08-07T03:43:04.731412Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "4\n"
     ]
    }
   ],
   "source": [
    "# 调用get_max函数\n",
    "a = 3\n",
    "b = 4\n",
    "print(get_max(a, b))"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "cc221dbd",
   "metadata": {},
   "source": [
    "# 文件"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "64003b15",
   "metadata": {},
   "source": [
    "## 打开文件 open()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "d7642041",
   "metadata": {},
   "source": [
    "1. 打开文件用open()，返回一个file对象，格式如下：\n",
    "**<center>```open(file, mode, encoding=utf-8,newline='')```</center>**\n",
    "- file：要访问的⽂件名称的字符串值\n",
    "- mode：⽂件打开模式，包括只读、写⼊、追加等，可选，默认模式为只读(r)\n",
    "- encoding：编码类型，一般使用utf-8\n",
    "- newline：区分换行符"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "83dd1f64",
   "metadata": {},
   "source": [
    "2. mode参数，常用r,w+,a+\n",
    "    - **```r模式```**：以只读⽅式打开⽂件。⽂件的指针将会放在⽂件的开头。这是默认模式。\n",
    "    - **```w+模式```**：打开文件用于读写。如果该⽂件已存在则打开⽂件，并<u>```从开头开始编辑，即原有内容会被删除```</u>。如果该⽂件不存在，创建新⽂件。\n",
    "    - **```a+模式```**：打开⼀个⽂件⽤于读写，为<u>```追加模式```</u>。如果该⽂件已存在，⽂件指针将会放在⽂件的结尾，**<u>```从结尾写入新的数据```</u>**。如果该⽂件不存在，创建新⽂件⽤于读写。"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "b164e879",
   "metadata": {},
   "source": [
    "## 文件方法"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "d85e2aad",
   "metadata": {},
   "source": [
    "|**函数**|描述|\n",
    "|:----:|:-----|\n",
    "|f.read(size)|读取⼀个⽂件的内容，size为读取的字节数，默认为-1，即读取整个文件|\n",
    "|f.readline()|从⽂件中读取单独的⼀⾏（指针所在行）|\n",
    "|**```f.readlines()```**|读取文件的所有行|\n",
    "|**```f.write(string)```**|将string写⼊⽂件中|\n",
    "|f.tell()|返回文件当前位置|\n",
    "|f.seek()|移动文件读取指针到指定位置|\n",
    "|**```f.close()```**|关闭文件|"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "890f146d",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2023-08-08T17:48:12.012345Z",
     "start_time": "2023-08-08T17:48:12.005342Z"
    }
   },
   "outputs": [],
   "source": [
    "# 写入文件\n",
    "# 打开文件\n",
    "file1 = open('./data/test.txt', 'a+')    # 如果改成a+\n",
    "# 写入内容\n",
    "file1.write('Python 是一门非常好学的语言。\\n没错，很简单！！\\n')   # \\n为换行符，实现换行\n",
    "# 关闭文件\n",
    "file1.close()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "5d7856ea",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2023-08-08T17:49:27.620882Z",
     "start_time": "2023-08-08T17:49:27.615565Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Python 是一门非常好学的语言。\n",
      "\n",
      "没错，很简单！！\n",
      "\n",
      "Python 是一门非常好学的语言。\n",
      "\n",
      "没错，很简单！！\n",
      "\n",
      "Python 是一门非常好学的语言。\n",
      "\n",
      "没错，很简单！！\n",
      "\n"
     ]
    }
   ],
   "source": [
    "# 读取文件\n",
    "# 打开文件\n",
    "file2 = open('./data/test.txt', 'r')\n",
    "# 读取所有行\n",
    "for line in file2.readlines():\n",
    "    print(line)\n",
    "# 关闭文件\n",
    "file2.close()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "8a538e92",
   "metadata": {},
   "source": [
    "## 实例：csv文件"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "911fc3c1",
   "metadata": {},
   "source": [
    "1. 有一些类型的文件需要用到专门的包，例如csv文件用csv或pandas，excel文件用xlrd，json文件用json\n",
    "2. 这些包有自己的特殊参数和方法，例如csv的标题行参数fieldnames、word的段落方法paragraphs"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "c4c05d5f",
   "metadata": {},
   "source": [
    "|**文件类型**|工具包|\n",
    "|:----:|:----:|\n",
    "|txt|--|\n",
    "|**```csv```**|csv, pandas|\n",
    "|excel|xlrd, pandas, openpyxl|\n",
    "|word|docx, win32com|\n",
    "|json|json|"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "2959e24c",
   "metadata": {},
   "source": [
    "**```csv文件```**：\n",
    "- 以纯文本形式存储表格数据的简单文件格式，**<u>```用逗号分隔，但能够呈现像excel表格样式的数据```</u>**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "67f34b3b",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2023-08-07T03:45:58.795966Z",
     "start_time": "2023-08-07T03:45:58.785962Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[{'book_name': '小王子', 'authors': '圣埃克苏佩里', 'publisher': '人民文学出版社', 'pub_time': '2003-8'}, {'book_name': '局外人', 'authors': '阿尔贝·加缪', 'publisher': '上海译文出版社', 'pub_time': '2010-8'}, {'book_name': '人类简史 : 从动物到上帝', 'authors': '尤瓦尔·赫拉利', 'publisher': '中信出版社', 'pub_time': '2014-11'}, {'book_name': '理想国', 'authors': '柏拉图', 'publisher': '商务印书馆', 'pub_time': '1986-8'}]\n",
      "4\n"
     ]
    }
   ],
   "source": [
    "dict3_list = [\n",
    "    {'book_name':'小王子', 'authors':'圣埃克苏佩里', 'publisher':'人民文学出版社', 'pub_time':'2003-8'},\n",
    "    {'book_name':'局外人', 'authors':'阿尔贝·加缪', 'publisher':'上海译文出版社', 'pub_time':'2010-8'},\n",
    "    {'book_name':'人类简史 : 从动物到上帝', 'authors':'尤瓦尔·赫拉利', 'publisher':'中信出版社', 'pub_time':'2014-11'},\n",
    "    {'book_name':'理想国', 'authors':'柏拉图', 'publisher':'商务印书馆', 'pub_time':'1986-8'}\n",
    "]\n",
    "print(dict3_list)\n",
    "print(len(dict3_list))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "b10c21d7",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2023-08-08T17:51:49.404053Z",
     "start_time": "2023-08-08T17:51:49.394458Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "38"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import csv\n",
    "\n",
    "# 打开文件\n",
    "file3 = open(file='./data/csv_sample.csv',mode='a+',encoding='utf-8',newline='')\n",
    "# 文件名为csv_sample.csv，模式为a+，如果已有文件，在末尾追加，如果没，则生成新文件\n",
    "# 编码为utf-8，需要区分换行符\n",
    "\n",
    "# 设置标题行fieldnames\n",
    "fieldnames = ['book_name', 'authors', 'publisher', 'pub_time']\n",
    "# 要求以字典的形式写入数据，fieldnames注明字典中键的名称，也就是书名、作者这些标题名\n",
    "writer = csv.DictWriter(file3, fieldnames=fieldnames)\n",
    "# 将fieldnames设置的标题key写入首行\n",
    "writer.writeheader()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "de2bc1cf",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2023-08-07T03:47:42.606341Z",
     "start_time": "2023-08-07T03:47:42.591349Z"
    },
    "code_folding": []
   },
   "outputs": [],
   "source": [
    "# 循环写入字典列表\n",
    "for dict3 in dict3_list:\n",
    "    writer.writerow(dict3)    # 写入一行\n",
    "\n",
    "file3.close()   # 关闭文件"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "a0260ce9",
   "metadata": {},
   "source": [
    "# 查看帮助文档：help或?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "181088f3",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2023-08-08T17:53:34.318621Z",
     "start_time": "2023-08-08T17:53:34.164705Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\u001b[1;31mType:\u001b[0m        module\n",
      "\u001b[1;31mString form:\u001b[0m <module 'requests' from 'e:\\\\Program Files\\\\anaconda3\\\\lib\\\\site-packages\\\\requests\\\\__init__.py'>\n",
      "\u001b[1;31mFile:\u001b[0m        e:\\program files\\anaconda3\\lib\\site-packages\\requests\\__init__.py\n",
      "\u001b[1;31mDocstring:\u001b[0m  \n",
      "Requests HTTP Library\n",
      "~~~~~~~~~~~~~~~~~~~~~\n",
      "\n",
      "Requests is an HTTP library, written in Python, for human beings.\n",
      "Basic GET usage:\n",
      "\n",
      "   >>> import requests\n",
      "   >>> r = requests.get('https://www.python.org')\n",
      "   >>> r.status_code\n",
      "   200\n",
      "   >>> b'Python is a programming language' in r.content\n",
      "   True\n",
      "\n",
      "... or POST:\n",
      "\n",
      "   >>> payload = dict(key1='value1', key2='value2')\n",
      "   >>> r = requests.post('https://httpbin.org/post', data=payload)\n",
      "   >>> print(r.text)\n",
      "   {\n",
      "     ...\n",
      "     \"form\": {\n",
      "       \"key1\": \"value1\",\n",
      "       \"key2\": \"value2\"\n",
      "     },\n",
      "     ...\n",
      "   }\n",
      "\n",
      "The other HTTP methods are supported - see `requests.api`. Full documentation\n",
      "is at <https://requests.readthedocs.io>.\n",
      "\n",
      ":copyright: (c) 2017 by Kenneth Reitz.\n",
      ":license: Apache 2.0, see LICENSE for more details."
     ]
    }
   ],
   "source": [
    "import requests\n",
    "# 显示在新的窗口\n",
    "?requests"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 75,
   "id": "df63553f",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2023-08-07T03:48:07.464857Z",
     "start_time": "2023-08-07T03:48:07.448898Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Help on package requests:\n",
      "\n",
      "NAME\n",
      "    requests\n",
      "\n",
      "DESCRIPTION\n",
      "    Requests HTTP Library\n",
      "    ~~~~~~~~~~~~~~~~~~~~~\n",
      "    \n",
      "    Requests is an HTTP library, written in Python, for human beings.\n",
      "    Basic GET usage:\n",
      "    \n",
      "       >>> import requests\n",
      "       >>> r = requests.get('https://www.python.org')\n",
      "       >>> r.status_code\n",
      "       200\n",
      "       >>> b'Python is a programming language' in r.content\n",
      "       True\n",
      "    \n",
      "    ... or POST:\n",
      "    \n",
      "       >>> payload = dict(key1='value1', key2='value2')\n",
      "       >>> r = requests.post('https://httpbin.org/post', data=payload)\n",
      "       >>> print(r.text)\n",
      "       {\n",
      "         ...\n",
      "         \"form\": {\n",
      "           \"key1\": \"value1\",\n",
      "           \"key2\": \"value2\"\n",
      "         },\n",
      "         ...\n",
      "       }\n",
      "    \n",
      "    The other HTTP methods are supported - see `requests.api`. Full documentation\n",
      "    is at <https://requests.readthedocs.io>.\n",
      "    \n",
      "    :copyright: (c) 2017 by Kenneth Reitz.\n",
      "    :license: Apache 2.0, see LICENSE for more details.\n",
      "\n",
      "PACKAGE CONTENTS\n",
      "    __version__\n",
      "    _internal_utils\n",
      "    adapters\n",
      "    api\n",
      "    auth\n",
      "    certs\n",
      "    compat\n",
      "    cookies\n",
      "    exceptions\n",
      "    help\n",
      "    hooks\n",
      "    models\n",
      "    packages\n",
      "    sessions\n",
      "    status_codes\n",
      "    structures\n",
      "    utils\n",
      "\n",
      "FUNCTIONS\n",
      "    check_compatibility(urllib3_version, chardet_version, charset_normalizer_version)\n",
      "\n",
      "DATA\n",
      "    __author_email__ = 'me@kennethreitz.org'\n",
      "    __build__ = 141568\n",
      "    __cake__ = '✨ 🍰 ✨'\n",
      "    __copyright__ = 'Copyright Kenneth Reitz'\n",
      "    __description__ = 'Python HTTP for Humans.'\n",
      "    __license__ = 'Apache 2.0'\n",
      "    __title__ = 'requests'\n",
      "    __url__ = 'https://requests.readthedocs.io'\n",
      "    chardet_version = '4.0.0'\n",
      "    charset_normalizer_version = '2.0.4'\n",
      "    codes = <lookup 'status_codes'>\n",
      "\n",
      "VERSION\n",
      "    2.29.0\n",
      "\n",
      "AUTHOR\n",
      "    Kenneth Reitz\n",
      "\n",
      "FILE\n",
      "    d:\\anaconda\\lib\\site-packages\\requests\\__init__.py\n",
      "\n",
      "\n"
     ]
    }
   ],
   "source": [
    "help(requests) # 显示在jupyter notebook的界面中，作为output"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "b94cbf6b",
   "metadata": {},
   "source": [
    "<center><big><b>END</b></big></center>"
   ]
  }
 ],
 "metadata": {
  "hide_input": false,
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.10.9"
  },
  "toc": {
   "base_numbering": 1,
   "nav_menu": {},
   "number_sections": true,
   "sideBar": true,
   "skip_h1_title": false,
   "title_cell": "Table of Contents",
   "title_sidebar": "Contents",
   "toc_cell": false,
   "toc_position": {
    "height": "calc(100% - 180px)",
    "left": "10px",
    "top": "150px",
    "width": "271px"
   },
   "toc_section_display": true,
   "toc_window_display": true
  },
  "varInspector": {
   "cols": {
    "lenName": 16,
    "lenType": 16,
    "lenVar": 40
   },
   "kernels_config": {
    "python": {
     "delete_cmd_postfix": "",
     "delete_cmd_prefix": "del ",
     "library": "var_list.py",
     "varRefreshCmd": "print(var_dic_list())"
    },
    "r": {
     "delete_cmd_postfix": ") ",
     "delete_cmd_prefix": "rm(",
     "library": "var_list.r",
     "varRefreshCmd": "cat(var_dic_list()) "
    }
   },
   "types_to_exclude": [
    "module",
    "function",
    "builtin_function_or_method",
    "instance",
    "_Feature"
   ],
   "window_display": false
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}
